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INDONESIA
KLIK: Kajian Ilmiah Informatika dan Komputer
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : -     EISSN : 27233898     DOI : -
Core Subject : Science,
Computer Science & IT
Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 561 Documents
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Klasifikasi Data Penduduk Penerima Bantuan Pangan Non Tunai Menggunakan Algoritma Naïve Bayes Satrianansyah; Armanto; Susanto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1489

Abstract

Indonesia's population is increasing, and people are starting to move from one island to another. This is caused by people who certainly want to get a more decent life. Every citizen makes various efforts to fulfill their standard of living by working as farmers, entrepreneurs, private employees and other jobs. But sometimes the jobs that have been done are not also able to raise the standard of living and the economy of the population, so there are still many people who fall into the poor category. There are many government programs to help alleviate the economic level of the poor, one of which is Non-Cash Food Assistance (BPNT). However, there is an obstacle where there is a lack of socialization to the community regarding this matter because in some areas there is not a system that is sufficient to obtain precise and accurate information about the data collection of the poor. This also causes a lot of abuse of the right to get assistance from the government. Assistance that should be obtained by the poor but then does not fall into the right hands due to the many irresponsible people who take advantage of conditions like this. Research on data collection of poor people this time was conducted at the Tebing Tinggi City Social Service, where in this Social Service there is no application that can record poor people in the city accurately and accurately. In this research, the Naïve Bayes algorithm is used to determine which people are categorized as poor and deserve to receive assistance. The result of this research is a website system that can display the results of calculations of which people are eligible to receive and which are not eligible to receive assistance. The purpose of this research is to help the Tebing Tinggi City Social Service in terms of facilitating village assistance to classify potential recipients of non-cash assistance in the city of Tebing Tinggi. The results of the research obtained the results of the value of people who are eligible to receive assistance based on the data in the Inoutkan is 2.947808918805
Implementasi Algoritma Dijkstra Pada Pencarian Rute Terpendek Objek Wisata Rachman Perayoga; Purwono Hendradi; Agus Setiawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1495

Abstract

The tourism sector has an important role as a source of income to support regional or national economic growth. Indonesia has a variety of natural beauty, one of which is in Temanggung Regency, Central Java. This diversity also forms the need for clear information about the location and types of tourism available. Therefore, an information system is needed that can help find the best path to the tourist site. One efficient approach is through the Dijkstra algorithm to determine the nearest route. Through the determination of the most efficient route, it will certainly have a positive effect, because it can reduce operational budgets and can optimize better travel periods between destinations. To implement the Dijkstra algorithm on the website using the Rapid Application Development (RAD) Method. In the built system, users can see the nearest route point from the initial location to the intended tourist spot, so it is expected to help users in terms of providing information and finding the shortest route from the point of travel. The result of this study is the application of an information system to determine the shortest route on a distance map using the dijkstra algorithm in Temanggung Regency.
Sistem Informasi WIP (Work In Process) Berbasis Web Menggunakan Metode Waterfall Hary Alfarizi; Abdul Halim Anshor; Edora
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1503

Abstract

Inventory is stock, or stored material or goods that are used for a specific purpose. Meanwhile, WIP, also known as work in process, is an inventory of semi-finished goods. So, if it is concluded that inventory work in process is the inventory of goods that have entered the production stage but have not been completed until the end of becoming a finished product, PT Hexpharm Jaya is a pharmaceutical company that produces various types of medicines. PT Hexpharm Jaya has a WIP (Work In Progress) inventory room for storage of Masa Siap Cetak (MSC) and Masa Siap Strip (MSS) products. But currently, the system that runs in the WIP inventory room still uses a paper format (logbook), so it often faces problems in the process of work activities. So a computerized system is a solution that is relevant to the existing problems. This research was conducted to overcome these problems. This information system development technique uses the waterfall method because of its structured and sequential nature, which suits the need to develop a system with clear and well-defined phases. The stages in the waterfall method include requirements analysis, system design, implementation, testing, and maintenance. This web-based WIP Information System, can produce success in inventory management, improve operational efficiency, increase visibility over production status, speed up workflow, and also increase company productivity. And it is hoped that this research can make a significant contribution to inventory management practices by introducing the web-based WIP Information System that has been developed.
Penetration Testing Information System Security Assessment Framework (ISSAF) Zul Azis Khan; Nazruddin Safaat H; Muhammad Irsyad; Teddie Darmizal
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1507

Abstract

The development of information technology has had a positive impact on various fields, including the field of web technology. Information technology has now become a necessity in improving the performance of organizations and educational institutions in achieving goals. Websites are a tool for institutions to promote to the general public. The https://kekampus.umri.ac.id/ website is an information system owned by the Umri campus which is used for PKKMB and Umri Masters, as a website that functions in storing data, it is necessary to increase security to prevent hacker attacks, there are several methods used, one of which is The ISSAF framework is a penetration testing standard used to test the resilience of websites. The aim of this research is to determine the security gaps of the https://kekampus.umri.ac.id/ website by using the penetration testing method with the ISSAF Framework. The ISSAF framework includes nine test assessments which include Information Gathering, Network Mapping, Vulnerability Identification, Penetration, Gaining Access and Privilege Escalation, Enumerating Further, Compromising Remote Users/Sites, Maintaining Access, and Covering Tracks. In this study, examiners only carried out four stages of the nine stages in the ISSAF framework. This research uses a black box strategy where testers are only given access to the target website domain. This research was conducted because of the problems that often occur in gacor slots in one of UMRI's information systems. The results of the analysis carried out found that there were several vulnerabilities that were lacking on the website, namely SQL injection attacks, cross JavaScript, cookie secure flags on the https://kekampus.umri.ac.id/ website. and provide suggestions or recommendations to improve security on the https://kekampus.umri.ac.id/ website.
Perbandingan Klasifikasi Citra CT-Scan Kanker Paru-Paru Menggunakan Image Enhancement CLAHE Pada EfficientNet-B0 Dzaky Abdillah Salafy; Febi Yanto; Surya Agustian; Fitri Insani
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1514

Abstract

In recent years, there has been a significant increase in the global cancer related mortality rate. Among various cancer types, lung cancer has emerged as one of the highest incidence cases. Lung cancer predominantly affects males and is attributed to several factors, including exposure to cigarette smoke, long-term air pollution, and exposure to carcinogenic compounds such as radon, asbestos, arsenic, coal tar, and diesel fuel emissions. The growth of cancerous cells in the lungs can be detected using various imaging techniques, with CT-Scan being one of them. This research focuses on the classification of normal lung organs and those affected by cancerous cells. The classification process employs two types of data: original data and data processed with Contrast Limited Adaptive Histogram Equalization (CLAHE). The data is initially divided with 90:10 ratios before being trained using a Convolutional Neural Network (CNN). The CNN architecture used is EfficientNet-B0, with the assistance of different optimizers and learning rates. After testing, the model's performance is evaluated using a confusion matrix to compare the results between the use of original data and CLAHE-processed data. The use of CLAHE processed data yields higher evaluation metrics compared to the original data, achieving a precision of 87.9%, recall of 85.6%, F1-score of 85.11%, and accuracy of 85.29% in the 90:10 data split, with the Adam optimizer and a learning rate of 10-1. The research results reveal that the utilization of image enhancement, specifically Contrast Limited Adaptive Histogram Equalization (CLAHE), with an appropriate combination of clip limit and tile grid, can impact the model's performance in classifying image data.
Klasifikasi Sentimen Terhadap Aplikasi Identitas Kependudukan Digital Menggunakan Algoritma Naïve Bayes dan SVM Faisal Parsakh Nursyamsyi; Firman Noor Hasan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1517

Abstract

The Ministry of Home Affairs announced the implementation of an application to keep up with technological and information developments while utilizing digitalization in an effort to increase the efficiency of public services to the community in terms of population data under the name Digital Population Identity (IKD). The Digital Population Identity Application will represent identity data information in digital form. There have been 5 million users who have downloaded the application and around 33 thousand people have provided reviews regarding their satisfaction after using the application. However, implementing the Digital Population Identity application still has pros and cons. There are various user sentiments given based on reviews regarding their satisfaction after using the application. From this problem. The researcher tried to conduct sentiment classification research using the Naïve Bayes algorithm and Support Vector Machine using RapidMiner Studio to determine the public's response to their satisfaction with the Digital Population Identity application by pulling review data on the Digital Population Identity application. Sentiment in review data will be divided into positive sentiment and negative sentiment. The stages carried out in the research process are data collection, data labeling, data cleaning, word weighting with TF-IDF, SMOTE Upsampling, and Cross Validation to accommodate the two classification algorithms, apply model, and performance. As a result of the analysis process that has been carried out, the Support Vector Machine algorithm has quite good performance with an accuracy value of 80.46%, precision of 0.73, and recall of 0.96%. Meanwhile, Naïve Bayes has an accuracy value of 80.22%, precision of 0.73 and recall of 0.94. Both algorithms can carry out the classification process well in the analysis process in the Digital Population Identity application
Optimasi Registrasi Kelas Persiapan Perkawinan Katolik Berbasis Mobile Elisabeth Kurnia Andini; Agus Suhendar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1519

Abstract

Frequently, prospective couples encounter challenges when dealing with the registration process for Catholic marriage preparation classes. These difficulties stem from factors such as differences in domicile between the prospective spouses, time estimations, and significant costs associated with gathering the required documents and submitting data to the Church's secretariat. The primary objective is to establish a mobile-based optimization system for registering Catholic marriage preparation classes. This system is designed to simplify the registration process, allowing registrations from any location with a robust internet connection and the flexibility to adhere to the Church's specified deadlines. The proposed model focuses on enhancing the efficiency and effectiveness of the marriage preparation class registration system. It enables the display of class schedules and registration forms, facilitates document uploads, and manages registrant data using the Unified Modeling Language (UML). The resulting system offers a more practical and straightforward experience via the mobile platform by implementing the waterfall method and employing qualitative data processing techniques. Subsequently, the system undergoes black-box testing to ensure its functionality. The prototype for optimizing mobile-based Catholic marriage preparation class registration is developed using Android Studio tools and the Kotlin programming language. In this research, the application will be made to have a more practical and simple process using a mobile-based system that can display information on the schedule of marriage preparation classes and registration forms, provide a means for prospective brides to upload the required files, and store data information on marriage preparation class registrants.
Extreme Programming Method Utilization to Develop a Mobile-Based Reservation Application Gabriel Nicolas Sumampow; Agus Suhendar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1520

Abstract

Several factors, such as the surge in the number of customers during the weekends, pose a considerable challenge for the staff when it comes to reservation management. Gravito Coffee still provides conventional reservation services, including the requirement for customers to physically visit Gravito Coffee to make a reservation, and the crowded environment often makes it difficult for customers to do so. Moreover, the absence of information media results in a lack of information available to the customers, and the reservation process is still reliant on manual bookkeeping. Therefore, a system is needed to enhance the efficiency of the reservation process. The reservation system at Gravito Coffee is a mobile-based system, utilizing mobile technology to simplify information retrieval. In the development process, this system employs the Extreme Programming (XP) method with an Object-Oriented approach. The stages of this method begin with planning, coding, and testing stage using black box testing. Additionally, this system can have a significant impact on the advancement of the field of computer science. Based on the results of the implemented method and system testing, the created mobile-based reservation system can help customers make reservation, thereby increasing time efficiency and assisting waiters in taking notes. It is hoped that this application will make the process of ordering at the cafe more convenient for customers, and it is expected that this ease of ordering will also contribute to increasing customer satisfaction.
Klasifikasi Kebakaran Hutan Riau Menggunakan Random Forest dan Visualisasi Citra Sentinel-2 Ahmad Efendi; Iwan Iskandar; Rahmad Kurniawan; Muhammad Affandes
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1521

Abstract

In September 2019, Riau was severely affected by hazardous haze, impacting the health of the population and disrupting the activities of approximately 6.5 million people. This situation necessitated swift and accurate actions for the mitigation and anticipation of forest and land fires. This research aims to classify forest fires in Riau using Machine Learning algorithms, specifically Random Forests. However, a comprehensive understanding of forest fires requires the visualization of Sentinel-2 satellite imagery using the Normalized Burn Ratio (NBR) index. Sentinel-2 imagery recreates a pivotal role in identifying burnt areas, measuring fire intensity, and assessing environmental impacts. Weather data spanning from January 2015 to September 2019, totaling 1733 data points have been utilized in this study. Experimental results demonstrate that the Random Forest algorithm achieved the highest accuracy of 71% with an 90% training data allocation. Meanwhile, Sentinel-2 imagery can visualize burnt areas with an overall accuracy of 94% and a kappa coefficient of 0.92. This study offers an integrated approach to addressing forest fires in Riau, resulting in improved predictions and a deeper understanding of forest fire disasters. In the context of disaster mitigation, the combination of Machine Learning and Sentinel-2 imagery visualization holds significant potential for providing critical information to stakeholders and authorities
Redesign Tata Letak Produk Berdasarkan Perilaku Pembelian Konsumen Menggunakan Metode Algoritma Apriori Cindi Wulandari; Rusdiyanto; M Rama Barokah Setian Jaya
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1522

Abstract

The development of technology has had a huge impact on human life. One of these influences in the field of information is the use of computers as a useful medium for companies by trying to collect as much information as possible to get maximum profit. In addition, the use of database systems plays a very important role for data management and is needed in various aspects of life, both in education, business, banking, and others. Mars Mart stores currently sell baby supplies, which provide a variety of products. The pandemic period has greatly affected the sales process at Mars Mart Store. So that shop owners must be good at organizing merchandise so that it is easy to see and attract the attention of buyers. The effect of the pandemic is that the raw materials take a long time to sell so that within 1 year the goods that should have been sold become unsold and expired. It is hoped that the system for determining the layout of merchandise can help sellers to increase sales of these goods because the display of merchandise is in accordance with consumer purchasing patterns. The method used to solve existing problems is the Apriori algorithm has two main processes, namely merging (join) and pruning (prune). The join process is a process that combines each existing item with other items until no more combinations can be formed, and the result of this research is that there are 6 rule bases that exist

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